Author

Yu-Sheng Tan

3 papers indexed here

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Open access Aug 2026

RECON infers regions of interest from H&E images and reconstructs whole-slide molecular profiles at single-cell resolution

Spatial omics technologies resolve molecular expression and spatial architecture at single-cell resolution, but profiling whole slides remains costly. In practice, only a few regions of interest (ROIs) are profiled, leaving the rest of the tissue unmeasured. S2-omics was the first framework to unify ROI selection with...

Xin-Xing Yang, Ning-Hui Hao, Run-Ning Zhao et al. · bioRxiv · 0 citations

#artificial intelligence Preprint Sep 2026

Toward Personalized Sleep Guidance from Wearable Data Using Language Models

Sleep monitoring using wearable data has shown promise for personal health, yet large language model (LLM)-based summarization and question answering remain insufficient for personalized sleep guidance. Training specialized models, however, often requires costly expert annotation. Moreover, privacy and accessibility co...

Yu-Sheng Tan, Run-Ning Zhao, Sofia Angel et al. · 0 citations

#artificial intelligence Preprint Aug 2026

SlideBank: A Persistent Hierarchical Evidence Bank for Consistent Whole-Slide Reasoning

SlideBank is introduced, a training-free framework that represents each WSI as a persistent, concept-indexed, and spatially grounded evidence bank and achieves over 99% rephrasing consistency and substantially reduces amortized inference cost through persistent evidence reuse.

Bei-Di Zhao, Gexin Huang, Ciro Zhang et al. · 1 citation